Vatis Tech
verifiedPaidAccurate audio/video transcription software and API with clear pricing and adoption.
What it does
Vatis Tech provides a high-speed audio and video to text converter that generates transcripts in over 50 languages with 98%+ accuracy. The platform is designed for efficiency, capable of transcribing one hour of content in just one minute and has an accuracy higher than Google, Speechmatics, Microsoft and other alternatives. It includes transcription software, speech-to-text APIs, caption generators, and audio intelligence. Vatis Tech serves various industries such as contact centers, broadcasting, medical, legal, media, newsrooms, podcasting, education, government, and defense & security.
How to use: Step 1 Upload audio and video files We support all major formats: MP3, WAV, M4A, FLAC, AAC, OGG for audio and MP4, MKV, AVI, MOV, WebM. You can also upload voice recordings directly from your phone. Step 2 The transcript is generated Our speech-to-text engine converts audio and video to text in 98+ languages with over 98% accuracy. A 1-hour file is transcribed in about 1 minute. Speaker diarization automatically labels who said what. Step 3 Edit, Export, Share Review your transcript in our built-in editor. Export as TXT, DOCX, PDF, SRT, or VTT. Copy directly to Google Docs or share via link. Convert your audio or video transcript to PDF, Word, or subtitle files with one click.
Core features
- ✦Transcription Software
- ✦Speech-to-Text API
- ✦Caption Generator
- ✦Audio Intelligence API
- ✦Custom Models
- ✦Speaker Identification
- ✦AI Summary and Assistant
- ✦Multi Language Transcription
- ✦Language Code-Switch
- ✦Real-Time Speech-to-Text API
Use cases
- →Transcribing podcasts, meetings, medical records, academic lectures, interviews, and legal proceedings
- →Generating closed captions and subtitles
- →Speech analytics and conversational AI applications
- →Converting lectures, interviews, and podcasts into text
- →Sales call transcription
- →Media monitoring
- →Meeting platforms
- →Research interview transcription